Search

Providing student feedback is a key component of an instructor’s role and an important part of effective instruction. Research shows that ongoing feedback keeps students engaged and improves their morale, motivation, and learning (Best, et al, 2014). Yet, providing high quality feedback can be a time-consuming commitment, especially in courses with large class sizes or numerous written assessments. Instructors should keep in mind the tools, structure, and best practices that can help them provide feedback.

Backward design is, as the name suggests, a process for designing curricula, courses, and lectures by working backwards from big-picture learning goals. The concept, introduced by Grant Wiggins and Jay McTighe (2005), suggests that instructors create assessments, activities, and course content that are explicitly aligned with the broader learning goals of the unit. This is different from the traditional content-driven approach to learning design, which focuses on course content first and only secondarily tries to align that content with learning goals.

Higher education institutions are racing to keep pace with the disruption caused by artificial intelligence (AI) tools. A 2023 QuickPoll survey by Educause found that 83% of higher education stakeholders believe generative AI will "profoundly change" the sector over the next three to five years. Additionally, 65% agreed that "the use of generative AI in higher ed has more benefits than drawbacks" (McCormack, 2023, Table 1). While institutions are exploring AI's potential in areas such as admissions, enrollment, administrative duties, scheduling, and institutional data research, this piece focuses on the overarching risks and rewards AI presents in teaching and learning.

In asynchronous, hybrid, and multimodal learning environments, strong communication practices greatly aid student engagement and satisfaction (Martin & Bolliger, 2018). Faculty may develop an exceptional course in terms of goals, content, and design, but without proper communication and feedback, the course experience will be significantly diminished.

Developments such as the evolution of World Englishes (WE) and African American scholars’ use of African American Vernacular English (AAVE) have opened an important dialogue around academic writing standards, language ownership, and linguistic justice (Canagarajah, 2006; Young, 2010). Authors like Gloria Anzaldua who mix, for example, Native Indian, Spanish, and English in texts, are engaging in the literary tradition of code meshing, which has been shown to facilitate acquisition of English when used by multicultural students in the classroom, according to research (Canagarajah, 2006). By adopting inclusive practices, course designers can combat linguistic bias and promote writing achievement for all learners. This blog contains five recommendations for reducing linguistic bias in online education.

Education should be diverse and inclusive regarding the composition of the student population, the selection of course materials, the methods of engagement, and the opportunities for assessment. However, it is important to avoid using the terms "diversity" and "inclusion" interchangeably, as they possess distinct meanings that should be preserved. Given their fundamental roles in course design and facilitation, this piece highlights the difference between diversity and inclusion in a general sense before applying these concepts specifically to online learning.

Guest speakers can support diversity, equity, inclusion, and belonging (DEIB) initiatives while promoting students’ academic and professional growth across disciplines. When designing courses, identify ways to integrate speakers into the curriculum, tap established networks, and ensure that any readings and assignments align with these efforts.

Whether designing a fully asynchronous course or a hybrid/blended learning experience, you’re likely thinking about recording a video to explain an idea, tell a story, or demonstrate a skill. And, in many situations, you should (see the Envision piece Video Planning: To Record or Not to Record? if you are wondering whether video is appropriate for your unique situation). Most research shows that online students enjoy learning from video and that it can be an effective way to deliver content. Students often appreciate the opportunity to review material at their own pace and to pause, rewind, and rewatch content as needed (Boateng et. al. 2016; Brame 2016).

For many people, “online learning” conjures images of successive videos, shot in a studio or perhaps on location, featuring high production value and expert, polished speakers, interspersed with short quizzes or activities. Indeed, strongholds such as MasterClass, LinkedIn Learning, and Coursera have mastered this formula and led many to believe that it is the recipe for success. While the economic success of these companies is undeniable, the effectiveness of an online course is measured by student success. When done well, video can have a positive impact on student learning (Clark & Mayer, 2011). Rather than designing your course according to the economic model, follow the evidence and research-based principles of visual communication, cognitive science, and online learning to decide when and how to create instructional videos. Through careful consideration of your learners, your objectives, your constraints, and the following best practices, you can spend your time and resources creating only the most essential videos. For a visual aid that accompanies this article, see the Video Planning Decision Tree.

Course announcements are an excellent way to communicate important information regarding upcoming topics and assignments. When delivered in video format, course announcements can also help create a culture of connection with your students, establishing instructor presence within the course.